Banca de DEFESA: YÁSKARA YGARA MENESCAL PINTO FERNANDES

Uma banca de DEFESA de DOUTORADO foi cadastrada pelo programa.
DISCENTE : YÁSKARA YGARA MENESCAL PINTO FERNANDES
DATA : 06/09/2017
HORA: 08:00
LOCAL: Laboratório de Inovação Tecnológica em Saúde - LAIS/HUOL
TÍTULO:

Eileithyia: Telehealth architecture expert on the classification of high-risk pregnancies in primary health care

PALAVRAS-CHAVES:

Primary Health Care, Single Health System, Intelligent Systems, Telehealth, high risk pregnant women, Protocol Regulation, Screening Process

PÁGINAS: 100
GRANDE ÁREA: Engenharias
ÁREA: Engenharia Biomédica
RESUMO:

Currently Telehealth is being applied and expanded in the Unified Health System (SUS), with emphasis on primary health care (PHC). Thus, using modern information and telecommunication technologies (ICT), such as computer networks, fixed and mobile telephony, as a strategic resource to optimize the health system as well as for assistance, administrative and educational purposes in health. Considering the global context of the use of telehealth, it has shown advances in ICT, providing new forms of transmission of knowledge and care on health. However, the Brazil women's health has been recognized as a priority; however, there has been a high number of deaths of women and children from complications of pregnancy and childbirth. Of these deaths can be prevented with the improvement in prenatal care and agility in recognizing signs of trouble in pregnancy. Thus, efforts have been made to equip the Basic Health Units (BHU) with technologies that can contribute to better access to information and aid decision making, in order to support the achievement of proper care. Lately, it has observed a deficiency in optimizing the care of pregnant women in UBS, the municipalities and thus causing overcrowding in reference maternities. Whereas many cases are diagnosed as low-risk pregnant women, including normal childbirth indication and that when there is no vacancy in the municipal network, reference maternity making call, which moves away from your user profile, which is the service high-risk pregnant women. So, if there was structure to meet those women in UBS, regional and municipal hospitals of origin, which optimize the work of health professionals, referral index inside the patient would be reduced and, consequently, would be experienced an improvement in service and costs. Accordingly, researches have been developed which generally address some problems which are pertinent to health and which can be automated, such as systems for screening patients; use of technology to improve the level of: security, communication, usability, reliability and performance of applications; defining new environments and technologies for health care through telehealth. It is in this context that the present research doctoral thesis proposes to develop an intelligent architecture that automates the process of regulation for the referral of patients with high-risk pregnancy between the reference municipalities and motherhood. And thus classifying high-risk pregnant women based on intelligent knowledge (in this case an expert system based on rules and using fuzzy logic for data classification) and forward them to motherhood through telehealth platform, assisting health professionals in decision-making.

MEMBROS DA BANCA:
Presidente - 2488270 - RICARDO ALEXSANDRO DE MEDEIROS VALENTIM
Interno - 2459504 - AQUILES MEDEIROS FILGUEIRA BURLAMAQUI
Externo à Instituição - ANTONIO HIGOR FREIRE DE MORAIS - IFRN
Externo à Instituição - BRUNO GOMES DE ARAUJO - IFRN
Externo à Instituição - JOSE EDVAN DE SOUZA JUNIOR - UERN
Externo à Instituição - MARIA DA CONCEICAO DE MESQUITA CORNETTA - UFRN